Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

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Research on factors influencing opinion polarization based on QCA algorithm

Authors
Jianhua Dai1, Shaoqiang Shen1, *
1School of Economics and management, Nanjing university of science and technology, Nanjing, China
*Corresponding author. Email: 12110722856@njust.edu.cn
Corresponding Author
Shaoqiang Shen
Available Online 27 October 2023.
DOI
10.2991/978-94-6463-276-7_10How to use a DOI?
Keywords
Online public opinion; opinion polarization; synergy analysis; csQCA
Abstract

The phenomenon of opinion polarization in unexpected online public events constantly challenges the construction of clear cyberspace, which can also lead to social harms such as cyber violence, rumors, moral abduction and doxing, etc. Studying the influencing factors of opinion polarization can help clarify the causes of the opinion polarization and dissipate the negative effects as well. Taking 29 hit public events as cases, clear-set QCA algorithm is adopted to analyze the synergy effect among event, emotion and communication variables of opinion polarization, and the findings are as follow: (1) Single variable cannot lead to opinion polarization and opinion polarization is the result of synergy of variables. (2) Event attribute and Emotional attribute play the main role of influencing opinion polarization while the communication attribute plays a subordinate role. (3) Type of event, event trigger, degree of harm, emotional state and information ambiguity are the key influencing factors (4) The three main types of configuration paths for opinion polarization are: the type which harms the national sentiment, the government’s breach of trust type and the celebrities’ breach of morality type.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 October 2023
ISBN
978-94-6463-276-7
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_10How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jianhua Dai
AU  - Shaoqiang Shen
PY  - 2023
DA  - 2023/10/27
TI  - Research on factors influencing opinion polarization based on QCA algorithm
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 75
EP  - 85
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_10
DO  - 10.2991/978-94-6463-276-7_10
ID  - Dai2023
ER  -